000			04058nam a22004575i 4500
988			_aSpringer_Robotics_2020
999			_c116946 _d116946 _x1
001			116946
003			ES-MaUEC
005			20230110040251.0
006			a||||fo|||| 00| 0
007			cr nn nnnaamaa
008			190621s2020 gw | s |||| 0|eng d
020			_a9783030238735
024	7		_a10.1007/978-3-030-23873-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQH324.2 _b2020 EB
245	0	0	_aPractical Applications of Computational Biology and Bioinformatics, 13th International Conference _cedited by Florentino Fdez-Riverola, Miguel Rocha, Mohd Saberi Mohamad, Nazar Zaki, José A. Castellanos-Garzón
250			_aFirst edition
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (XV, 184 páginas) _b60 ilustraciones, 39 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	1		_aAdvances in Intelligent Systems and Computing _x2194-5357 _v1005
490	0		_aTechnologies and Robotics (Springer-42732)
505	0		_aProtRet: A Web Server for Retrieving Proteins in a Functional Complex -- Proposal of a new bioinformatics pipeline for metataxonomics in precision medicine -- Systems toxicology approach to unravel early indicators of squamous cell carcinoma rate in rat nasal epithelium induced by formaldehyde exposure -- Moment Vector Encoding of Protein Sequences for Supervised Classification -- A Hybrid of Particle Swarm Optimization and Minimization of Metabolic Adjustment For Ethanol production of Escherichia Coli.
520	3		_aThis book features 21 papers spanning many different sub-fields in bioinformatics and computational biology, presenting the latest research on the practical applications to promote fruitful interactions between young researchers in different areas related to the field. Next-generation sequencing technologies, together with other emerging and diverse experimental techniques, are evolving rapidly, creating numerous types of omics data. These, in turn, are creating new challenges for the expanding fields of bioinformatics and computational biology, which seek to analyse, process, integrate and extract meaningful knowledge from such data. This calls for new algorithms and approaches from fields such as databases, statistics, data mining, machine learning, optimization, computer science, machine learning and artificial intelligence. Clearly, biology is increasingly becoming a science of information, requiring tools from the computational sciences. To address these challenges, we have seen the emergence of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences. In this context, the interaction of researchers from different scientific areas is, more than ever, vital to boost the research efforts in the field and contribute to the training of the new generation of interdisciplinary scientists.
650		7	_2embne _aBioinformática _xCongresos y asambleas _9160489
650		7	_2embne _aBiología _xProceso de datos _xCongresos y asambleas _9138150
700	1		_aFdez-Riverola, Florentino _qFernández-Riverola _eeditor _4http://id.loc.gov/vocabulary/relators/edt _999689
700	1		_aRocha, Miguel _eeditor _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aMohamad, Mohd Saberi _eeditor _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aZaki, Nazar _eeditor _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aCastellanos-Garzón, José A _eeditor _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030238728
776	0	8	_iPrinted edition: _z9783030238742
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-23873-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b01/2018 _eel _zSI